On the Convergence of Momentum-Based Algorithms for Federated Stochastic Bilevel Optimization Problems.
Hongchang GaoPublished in: CoRR (2022)
Keyphrases
- optimization problems
- optimization methods
- evolutionary algorithm
- stochastic approximation
- computational complexity
- computational cost
- test problems
- convergence rate
- combinatorial optimization
- iterative algorithms
- orders of magnitude
- theoretical analysis
- stochastic search
- global convergence
- stopping criteria
- bi objective
- neural network
- convergence property
- convergence speed
- benchmark problems
- times faster
- cost function
- digital libraries
- data structure
- computer vision
- learning algorithm